Jidoka 4.0 as a Data-Driven Lean Capability: A Structural Model Linking Smart Automation to Sustainability Outcomes in Manufacturing

Published: 1 June 2026| Version 1 | DOI: 10.17632/syst7rz6bt.1
Contributor:
Jorge Luis García-Alcaraz

Description

This supplementary material contains the data underlying the study "Jidoka 4.0 as a Data-Driven Lean Capability: A Structural Model Linking Smart Automation to Sustainability Outcomes in Manufacturing", published in Advanced Manufacturing. The dataset was collected between January 20 and April 20, 2026, via an online questionnaire administered to managers, engineers, and supervisors in the manufacturing industry of Ciudad Juárez, Chihuahua, Mexico. The instrument measured three latent constructs: Jidoka/Autonomation (JIDO, 5 items), Environmental Sustainability (ENSU, 7 items), and Digital Sustainability (DISU, 6 items), using a five-point Likert scale (1 = strongly disagree, 5 = strongly agree). The file contains five sheets: (S0) raw response data for 834 valid cases after data cleaning; (S1) descriptive statistics per item, including median and interquartile range (IQR); (S2) minimum sample size calculations using the inverse square root and gamma-exponential methods (WarpPLS 8.0); (S3) standardized factor loadings, standard errors, and p-values for construct validation; and (S4) HTMT and HTMT2 discriminant validity ratios with confidence intervals.

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Use Excel

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Categories

Environmental Management, Sustainability, Structural Equation Modeling, Manufacturing, Digital Transformation, Industry 4.0

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